Measurement-Error Diagnostics and the Sex Discrimination Problem
Bibliographic Data
| ID | 19420110 |
|---|---|
| Authors | Daniel W Schafer (Oregon State University, corresponding author) |
| Year | 1987 |
| Volume | 5 |
| Issue | 4 |
| Pages | 529-537 |
| Publication date | 1987-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Business and Economic Statistics (JOURNAL) |
| Journal identifiers | ISSN: 0735-0015 • E-ISSN: 1537-2707 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/07350015.1987.10509621 |
| OpenAlex | W1993148422 |
| Language | EN |
| Citations received | 1 |
| References cited | 20 |
Numerical and graphical diagnostic tools are presented for studying the effect of explanatory-variable measurement errors on regression results when very rough knowledge about the measurement-error variances or reliabilities is available. These methods are exhibited on an example of sex discrimination in which male and female salaries are compared after adjustment for individual qualifications but the observed qualification variables are only proxies for what is actually desired. A measurement-error trace is suggested, much like a ridge trace, to exhibit effects of measurement errors of various sizes on the estimate of the adjusted sex difference in log salaries. An approximate Bayesian analysis for the simple functional model is also presented
Bayesian probability · Econometrics · Linear regression · Observational error · Regression · Regression analysis · Statistics · Advanced Statistical Methods and Models · Advanced Statistical Process Monitoring · Mathematics · Statistical Methods and Inference
| Citations per year | 0.03 |
|---|---|
| Citation span | 1994 - 1994 (1) |
| Highly cited | No |